5 Key Features of Supply Chain Collaboration Software

Key takeaways

Supply chain collaboration must be built around real-time data. By prioritizing the use of accurate, relevant data, teams and stakeholders can make informed decisions and take proactive measures to optimize the supply chain.

Supply chain collaboration has become an essential part of ensuring a successful supply chain. Streamlined and efficient collaboration between different teams and stakeholders can ensure the flow of goods and services, reduce costs, and improve customer satisfaction.

However, effective collaboration is often hindered by the lack of reliable data and tools that can help teams make data-driven decisions. This is where supply chain collaboration software comes into play. Supply chain collaboration software tools are designed to centralize data from different sources, providing a single source of truth for all teams involved in the supply chain.

The benefits of supply chain collaboration software extend far beyond just data centralization. These tools come equipped with a range of features that can help teams collaborate more efficiently, reducing the risk of errors, delays, and miscommunications. In the following sections, we will explore five key features of supply chain collaboration software that are essential for achieving streamlined and efficient collaboration in the supply chain.

5 Key Features of Supply Chain Collaboration Software

Data-centric collaboration

Effective supply chain collaboration starts with data. In many cases, supply chain management failures occur because teams and stakeholders lack access to timely and accurate data, such as part shortages, machine downtime, and quality problems. This can result in delayed corrective actions, unsatisfied customers, and ultimately, lost revenue.

To address these challenges, supply chain collaboration must be built around real-time data. By prioritizing the use of accurate, relevant data, stakeholders can make informed decisions and take proactive measures to optimize the supply chain. A data-centric approach not only enhances collaboration but also ensures that decisions rest on current data.

Furthermore, it is not just about data, but also about making process data-centric. While real-time data is fundamental, it's only one piece of the puzzle. Advanced supply chain collaboration software features mentioned below such as in-context messaging, simulation of alternative plans, and integration into existing processes are all designed to facilitate efficient and effective collaboration and communication.

Access to real-time data

Real-time disruptions require real-time responses, but many companies lack access to data from real-time feeds. This can lead to decisions based on outdated information or the loudest voice in the room. To increase agility in resolving issues and build resilience to disruptions, it's crucial to connect all data generated by all points in the supply chain in real-time.

However, it's important to note that we're not just talking about any data; the instantaneity of the data is crucial. Traditional business intelligence tools rely on extracts from ERPs that often contain poor data quality and rapidly expire in a volatile factory environment. What really matters in supply chain collaboration is real-time tracking of work orders, purchase orders, customer orders, machines, suppliers, and more. Additionally, much of the interesting data in operations management is stored in shared Excel files, post-it notes of plant operators, or emails. A well-designed supply chain collaboration software must have a 360-degree view of these data and store the history of issues and solutions on the object to leverage accumulated knowledge instantly.

By leveraging such solutions, a production controller can instantly identify the next critical parts to source for an order, which suppliers to contact, who is dealing with them internally, and which customers are at risk. They can also determine which customer orders to potentially delay. More advanced supply chain collaboration software can enrich the data model with configuration tables from users, providing additional contextual data about suppliers, equipment, machines, BOMs, or customers.

In-context messaging

To manage complex supply chains successfully, it's crucial to have an in-context messaging feature that allows partners to seamlessly share and comment on critical issues and escalation tickets. This feature should be intuitive and eliminate the need to switch between systems, thereby speeding up communication.

A well-designed in-context messaging function can provide a complete history of comments on an escalation ticket, issue, or specific object. This helps to align everyone on the best course of action. It should also be optimized to shorten the feedback loop between teams with a comments module and notification alerts for specific users. With just one click, critical issues can be instantly escalated to management or suppliers.

Integration into existing processes and systems

Currently, many companies manage their supply chain collaboration using a mix of Excel, email, Teams, and various ERPs, with many useful data sources stored in these tools and systems. It's important to note that supply chain collaboration software should not be viewed as a replacement for these tools, but rather as a complementary solution that works in tandem with existing systems. This is where composable supply chain collaboration software comes into play, as it's designed to seamlessly integrate with existing systems, tools, and data sources. By doing so, it facilitates vertical collaboration and makes it easier for organizations to optimize their supply chain operations.

Simulation of alternative plans

An effective supply chain collaboration software offers the benefit of simulating alternative plans to better take proactive actions. For example, with on-the-fly supply simulation, including pull-ins, push outs, and partial deliveries, the supply chain collaboration software can enable a more agile and flexible decision-making process.

To better compare different alternative plans, the impact of these simulations should be computed, giving visibility on key performance indicators and status changes across all plants. Next best actions can then be taken based on the simulated plan, along with a collective critical path to implement the new production plan. This facilitates short-term production allocation optimization, including machine, work order operations, workers, and skills, with real-time alerts provided for potential risks.

Additionally, sharing the outcomes of simulations with other teams allows for iteration towards an optimal operations plan. Overall, the ability to simulate alternative plans is a critical feature of supply chain collaboration software, as it enables more efficient and solution-driven supply chain collaboration management.

Conclusion

Effective and efficient supply chain collaboration is essential for organizations to maintain a successful supply chain. Supply chain collaboration software provides a range of features that help teams collaborate more efficiently, reducing the risk of errors, delays, and miscommunications. Five key features of such software have been discussed in this article, including access to real-time data, in-context messaging, integration with existing processes and systems, simulation of alternative plans, and data-centric collaboration. By leveraging these features, organizations can streamline their supply chain operations, reduce costs, and improve customer satisfaction.